Description
Python applications can add lightweight local speech recognition through PocketSphinx bindings. This is useful for prototypes, accessibility tools, voice commands, and research code that needs offline recognition.
It is a Python library. Recognition quality depends on models, microphones, language support, and noise, and applications should treat captured speech as potentially private data.